Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing

Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing

Abstract Photonic neural networks (PNNs) based on silicon photonic integrated circuits (Si‐PICs) offer significant advantages over microelectronic counterparts, including lower energy consumption, higher bandwidth, and faster computing speeds. However, the analog nature of optical signal in PNNs mak...

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Bibliographic Details
Main Authors: Yangyang Zhuge, Zhihao Ren, Zian Xiao, Zixuan Zhang, Xinmiao Liu, Weixin Liu, Siyu Xu, Chong Pei Ho, Nanxi Li, Chengkuo Lee
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Advanced Science
Subjects:
Bayesian neural network
multimodal data processing
photonic probabilistic computing
photonic random number generator
silicon photonics
Online Access:https://doi.org/10.1002/advs.202500525
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https://doi.org/10.1002/advs.202500525

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